Abstract:
An image deblurring method and an image deblurring apparatus are provided. The image deblurring method includes acquiring a blurred image and a dynamic vision sensor (DVS) event set that is recorded by a DVS while the blurred image is exposed, and deblurring the blurred image, based on the DVS event set.
Abstract:
A method and apparatus for processing a user input are provided. The method includes: determining a type of the user input based on a change amount of an input image; and processing the user input based on the determined type.
Abstract:
Provided is a neuromorphic signal processing device for locating a sound source using a plurality of neuron circuits, the neuromorphic signal processing device including a detector configured to output a detected spiking signal using a detection neuron circuit corresponding to a predetermined time difference, in response to a first signal and a second signal containing an identical input spiking signal with respect to the predetermined time difference, for each of a plurality of predetermined frequency bands, a multiplexor configured to output a multiplexed spiking signal corresponding to the predetermined time difference based on a plurality of the detected spiking signals output from a plurality of neuron circuits corresponding to the plurality of frequency bands, and an integrator configured to output an integrated spiking signal corresponding to the predetermined time difference, based on a plurality of the multiplexed spiking signals corresponding to a plurality of predetermined time differences.
Abstract:
A modeling method using a three-dimensional (3D) point cloud, the modeling method including extracting at least one region from an image captured by a camera; receiving pose information of the camera based on two-dimensional (2D) feature points extracted from the image; estimating first depth information of the image based on the at least one region and the pose information of the camera; and generating a 3D point cloud to model a map corresponding to the image based on the first depth information.
Abstract:
A pose estimation method and apparatus are provided. The method includes determining, as a rotation component, an output value of a motion sensor configured to sense a motion of the pose estimation apparatus, determining a change amount of a translation component based on the rotation component, and the translation component extracted from images photographed by a vision sensor included in the pose estimation apparatus, optimizing the translation component based on the change amount, and outputting the rotation component and the optimized translation components a pose estimation value of the pose estimation apparatus.
Abstract:
An image generating method and an image generating apparatus are provided. The image generating method includes generating a first image based on first event signals that are output from an event-based vision sensor during a first time period and stored in a buffer, generating a second image based on second event signals that are output from the event-based vision sensor during a second time period and stored in the buffer, and aligning the first image and the second image to generate a third image having a quality that is higher than qualities of the first image and the second image.
Abstract:
A user input processing method is provided. The user input processing method determines, based on a recognition reliability of a user input for a function, a delay time and whether the function is to be performed, the function being determined in advance, and controls the function based on the delay time and whether the function is to be performed.
Abstract:
Apparatuses and methods for sensing spatial information based on a vision sensor are disclosed. The apparatus and method recognize the spatial information of an object sensed by the vision sensor that senses a temporal change of light. The light being input into the vision sensor is artificially changed using a change unit configured to change the light being input to the vision sensor.
Abstract:
A method and apparatus for detecting a movement of an object based on an event are provided. The apparatus may detect a movement of an object, for example, based on time difference information of a pixel corresponding to an event detected using an event-based vision sensor.